Synthesized and studied quality performance of the neural network aiming and stabilization system of the light armored vehicle accounting for backlash in the kinematic coupling device. Developed the flowchart of the system neural network model and designed the circuit of the control object model with backlash. The system is modeled for different types of test inputs. It is illustrated that backlash does not affect the quality performance of the designed neural network system.
neural control system guidance and stabilization, nonlinear dynamic object, neural predictive controller, NN Predictive Controller